SPSS Survival Manual, 6th Edition

The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. In her bestselling guide, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This sixth edition is fully revised and updated to accommodate changes to IBM SPSS procedures, screens and output. It covers new SPSS tools for generating graphs and non-parametric statistics, importing data, and calculating dates.

Table of Contents

Chapter Part One Getting started
Chapter 1 Designing a study
Chapter 2 Preparing a codebook
Chapter 3 Getting to know IBM SPSS

Part Two Preparing the data file
Chapter 4 Creating a data file and entering data
Chapter 5 Screening and cleaning the data

Part Three Preliminary analyses
Chapter 6 Descriptive statistics
Chapter 7 Using graphs to describe and explore the data
Chapter 8 Manipulating the data
Chapter 9 Checking the reliability of a scale
Chapter 10 Choosing the right statistic

Part Four Statistical techniques to explore relationships among variables
Chapter 11 Correlation
Chapter 12 Partial correlation
Chapter 13 Multiple regression
Chapter 14 Logistic regression
Chapter 15 Factor analysis

Part Five Statistical techniques to compare groups
Chapter 16 Non-parametric statistics
Chapter 17 T-tests
Chapter 18 One-way analysis of variance
Chapter 19 Two-way between-groups ANOVA
Chapter 20 Mixed between-within subjects analysis of variance
Chapter 21 Multivariate analysis of variance
Chapter 22 Analysis of covariance